Fire service and equipment inspection test and maintenance system and method

A decision-support system for documenting, monitoring, testing, inspecting, and maintaining fire safety equipment comprising:

• at least one computer processor and memory system accessible by way of a computer network, the at least one computer processor and memory system programmed to receive data, information, and analysis about the status of at least one set of fire safety equipment;
• at least one user interface operatively coupled to the at least one computer processor and memory system;
• the at least one computer processor and memory system adapted to create from the at least one set of fire safety equipment at least one related set of fire safety equipment wherein there is at least one or more of a material, temporal, spatial, risk, skillset, and responsibility element for maintaining fire safety equipment in the at least one related set of fire safety equipment;
• wherein each of the at least one related set of fire safety equipment includes fire safety equipment that at least one user from a set of at least one user will maintain on one maintenance action;
• wherein a location of each equipment element of the at least one set of fire safety equipment and the at least one related set of fire safety equipment is determined by at least one or more of Global Positioning Data, a sensor, a coordinate, and a map;
• wherein the at least one computer processor and memory system is further adapted to create from each related set of fire safety equipment at least one substantially Hamiltonian path to each equipment element of the at least one related set of fire safety equipment wherein the at least one substantially Hamiltonian path is recommended to the at least one user from the set of at least one user;
• at least one or more of the at least one related set of fire safety equipment at least partly determined by at least one artificial intelligence program, the artificial intelligence program further comprising at least one or more of machine learning, natural language processing, graphing algorithms, and set algorithms from which to combine one or more at least one related set of fire safety equipment from at least one set of fire safety equipment, at least one user from a set of at least one users, and at least one substantially Hamiltonian path oriented toward at least one or more of a goal based on maintenance speed, cost-effectiveness, and maintenance quality;
• and
• wherein the at least one computer processor and memory system is adapted to provide to each at least one user from the set of at least one user the at least one related set of fire safety equipment, the location of each equipment element of the at least one related set of fire safety equipment, the at least one substantially Hamiltonian path to each equipment element of the related set of fire safety equipment, the required maintenance action for each equipment element of the at least one related set of fire safety equipment, and maintenance toolsets to perform required maintenance actions.

A decision-support method for documenting, monitoring, testing, inspecting, and maintaining fire safety equipment comprising:

• accessing at least one computer processor and memory system accessible by way of a computer network and receiving data, information, and analysis about the status of at least one set of fire safety equipment;
• creating, with the at least one computer processor and memory system, and from the at least one set of fire safety equipment, at least one related set of fire safety equipment wherein there is at least one or more of a material, temporal, spatial, risk, skillset, and responsibility element for maintaining fire safety equipment in the at least one related set of fire safety equipment, wherein each of the at least one related set of fire safety equipment includes fire safety equipment that at least one user from a set of at least one users will maintain on one maintenance action;
• determining a location of each equipment element of the at least one set of fire safety equipment and the at least one related set of fire safety equipment by way of at least one or more of Global Positioning Data, a sensor, a coordinate, and a map;
• creating, with the at least one computer processor and memory system, and from each related set of fire safety equipment, at least one substantially Hamiltonian path to each equipment element of the at least one related set of fire safety equipment wherein the at least one substantially Hamiltonian path is recommended to the at least one user from the set of at least one user;
• determining, from at least one or more of the at least one related set of fire safety equipment at least partly, and by at least one artificial intelligence program, at least one user from a set of at least one users, and at least one substantially Hamiltonian path oriented toward at least one or more of a goal based on maintenance speed, cost-effectiveness, and maintenance quality, the artificial intelligence program further comprising at least one or more of machine learning, natural language processing, graphing algorithms, and set algorithms from which to combine one or more at least one related set of fire safety equipment;
• and
• presenting, with the at least one computer processor and memory system, and to each at least one user from the set of at least one user the at least one related set of fire safety equipment, the location of each equipment element of the at least one related set of fire safety equipment, the at least one substantially Hamiltonian path to each equipment element, the required maintenance action for each equipment element of the at least one related set of fire safety equipment, and maintenance toolsets to perform required maintenance actions.